Multidimensional and multiparametric image processing

 

Activities associated with this research line mostly concern quality enhancement, information extraction, and (semi)automatic interpretation of digital images. In the biomedical field, algorithms have been developed for image enhancement, automatic recognition of regions of interest, multidimensional and multiparametric image segmentation. Research activity has been conducted on the development of smart image databases (content-based image retrieval, CBIR). The long-term expertise on these disciplines also involved national and international research projects and collaborations with major partners, such as Esaote, Telecom Italia, ERG S.p.A., the Italian Department for Civil Protection (DPC), the Italian Space Agency (ASI), and Cedara SW. The scientific relevance of the considered topics is confirmed by multiple international-level publications. This research line is addressed by the NUMIP lab.

Processing and recognition of remote sensing images of the territory

This research line plays a relevant role in applications to environmental monitoring, prevention of natural and anthropic disasters, and renewable energy source mapping, thanks to the ever increasing availability of satellite information on the territory and to the need for novel and updated analysis methods. This research line has been growing on the basis of European and national projects, specifically involving funding from ASI, the European Union, and the Italian Ministry of Education, University, and Research, as well as collaboration with DPC. Numerous papers in international scientific journals, roles in the editorial boards of international scientific journals, and close relationship with international universities and research centers (Universities of Iceland, Tromsø, Colorado Boulder, INRIA, Mines ParisTech, Telecom Bretagne, JRC, German Aerospace Agency, …) confirm the prestigious role played in the international scientific community of remote sensing. This research line involves the IPRS and RIOS labs and is addressed in both DITEN sites of Genoa and Savona.

Acoustic signal processing and acoustical imaging

Underwater acoustics, sonar signal processing, and (underwater or medical) ultrasound imaging play a relevant role in the international scientific community and convey a remarkable interest from the national sectors of industry, service and defense. The current maturity reached by the research line on these topics has allowed a technology transfer phase, remarkably appreciated by national industries. This maturity is further confirmed by the attracted funding level and the produced research results (patents and publications), giving rise to significant high-tech implementations, including the design of sonar dome of the FREMM frigates, a medical ultrasound imaging system with new-generation contrast agent (Esaote), an automatic sonar analysis system for the pipelayer ROVs of Saipem, and a hearing aid system for Linear. The research line is carried out by the A3US lab.

 

The research unit is organized in four laboratories:

  1. Laboratorio Numerical Image Processing (NUMIP), responsible: Dr. Silvana Dellepiane (DITEN site in via Opera Pia 11, Genoa)
  2. Laboratorio Acoustics, Antenna Arrays, and Underwater Signals (A3US), responsible: Dr. Andrea Trucco (DITEN site in via Opera Pia 11, Genoa)
  3. Laboratorio Image Processing and Pattern Recognition for Remote Sensing (IPRS), responsible: Prof. Sebastiano B. Serpico (DITEN site in via Opera Pia 11, Genoa)
  4. Laboratorio Remote sensIng for envirOnment and Sustainability (RIOS), responsible: Dr. Gabriele Moser (DITEN site at the Savona Campus)

Referente Sebastiano Serpico
Telefono +390103532752
Email: Questo indirizzo email è protetto dagli spambots. E' necessario abilitare JavaScript per vederlo.

Afferenti Silvana Dellepiane, Gabriele Moser, Sebastiano Serpico, Andrea Trucco, Gianni Vernazza

Contattaci!

 Per informazioni generali

Per informazioni sui corsi di studio

Informativa sulla privacy

 

Share

FacebookTwitterGoogle BookmarksLinkedin

Ingegneria

Sample image
 Università degli Studi
di Genova

We use cookies to improve our website and your experience when using it. Cookies used for the essential operation of the site have already been set. To find out more about the cookies we use and how to delete them, see our privacy policy.

I accept cookies from this site.

EU Cookie Directive Module Information